LeanAppSec Live: Practical Strategies for Modern Application Security

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Application security (AppSec) is evolving rapidly, with challenges like shrinking budgets, AI-generated code risks, and modern code review practices taking center stage. The upcoming LeanAppSec Live event on May 21 (9–11 AM PT) will feature expert insights from industry leaders, offering actionable strategies for AppSec teams.

Key Sessions to Explore:

  1. Jeevan Singh (Rippling) – The evolving role of AppSec engineers.
  2. Dimitri Stiliadis (Endor Labs) – Risks of AI-generated code in software development.
  3. Seth Law (Absolute AppSec) – Modern approaches to code reviews.

🔗 Register Here: https://lnkd.in/gzuABJRW

You Should Know: Practical AppSec Commands & Techniques

1. Scanning for Vulnerabilities in Dependencies

Use OWASP Dependency-Check to detect vulnerable libraries:

dependency-check.sh --project MyApp --scan ./src --out ./report

2. Static Application Security Testing (SAST) with Semgrep

Scan code for security flaws:

semgrep --config=p/security-audit ./src

3. Detecting AI-Generated Code Risks

Use GitLeaks to find secrets in AI-generated scripts:

gitleaks detect --source=. --report-format=json --report=leaks.json

4. Modern Code Review with Git Hooks

Automate pre-commit checks using pre-commit:

pre-commit install 
pre-commit run --all-files

5. Monitoring Runtime Threats with Falco (Linux Security)

Detect suspicious container activity:

falco -r /etc/falco/falco_rules.yaml

What Undercode Say

AI-generated code introduces new risks, requiring stricter code reviews and dependency checks. Integrating SAST, DAST, and runtime monitoring ensures a robust AppSec pipeline. Expect more AI-driven security tools to emerge, automating threat detection while demanding human oversight.

Prediction

By 2025, AI-powered security audits will become standard, reducing manual review efforts but increasing the need for explainable AI in vulnerability assessments.

Expected Output:

  • Event Registration: https://lnkd.in/gzuABJRW
  • Security Tools Used: OWASP Dependency-Check, Semgrep, GitLeaks, Falco.
  • Key Focus: AI-generated code risks, modern code reviews, and cost-effective AppSec strategies.

References:

Reported By: Vbadhwar Leanappsec – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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